MSc if Mathematics from the University of Stockholm
After finishing his MSc at Stockholm University Daniel Witschard worked several years in software development with focus on applications for Visual Analytics on Big Data. The hands-on proficiency from the starting years as a C++ programmer, combined with the management experience from later years project leader and management positions, has given a profound understanding of the many challenges of the field. Given the opportunity to tackle the research frontier of Data Visualization and Visual Analytics Daniel gladly joined the LNU/ISOVIS research group as a PhD student.
Daniel focuses on Visual Analytics on Multivariate Networks (MVNs, i.e., large networks with considerable amounts of associated data). By exploring ways to combine several different embedding technologies the main goal is to find new, and better, ways to perform similarity calculations on large and complex entities. If successful, the results may also be possible to generalize beyond the scope of MVNs.
Conference paper (Refereed)
- Daniel, W., Jusufi, I., Martins, R.M., Kerren, A. (2021). A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks. Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP. 219-223.
- Witschard, D., Jusufi, I., Kerren, A. (2021). SimBaTex : Similarity-based Text Exploration. Posters of the 23rd EG/VGTC Conference on Visualization (EuroVis '21).
Conference paper (Other academic)
- Daniel, W., Jusufi, I., Martins, R.M., Kerren, A. (2020). Multiple Embeddings for Multivariate Network Analysis. 6th annual Big Data Conference at Linnaeus University, in Växjö, Sweden.